Triple

T7014081
Position Surface form Disambiguated ID Type / Status
Subject Wu Peifu E162656 entity
Predicate givenName P17 FINISHED
Object Peifu
Peifu is the given name of Wu Peifu, a prominent early 20th-century Chinese warlord and military leader of the Beiyang government era.
 E634918 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peifu | Statement: [Wu Peifu, givenName, Peifu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peifu
Context triple: [Wu Peifu, givenName, Peifu]
  • A. Pujie
    Pujie was a Manchu prince of the Qing imperial family and younger brother of the last Emperor of China, Puyi, who played minor political roles during Japan’s occupation of Manchuria.
  • B. Xiangmei
    Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
  • C. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • D. Ma-Sha
    Ma-Sha is a character portrayed by actress Claudia Black, best known from her work in science fiction and fantasy television and film.
  • E. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peifu
Triple: [Wu Peifu, givenName, Peifu]
Generated description
Peifu is the given name of Wu Peifu, a prominent early 20th-century Chinese warlord and military leader of the Beiyang government era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peifu
Target entity description: Peifu is the given name of Wu Peifu, a prominent early 20th-century Chinese warlord and military leader of the Beiyang government era.
  • A. Pujie
    Pujie was a Manchu prince of the Qing imperial family and younger brother of the last Emperor of China, Puyi, who played minor political roles during Japan’s occupation of Manchuria.
  • B. Xiangmei
    Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
  • C. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • D. Ma-Sha
    Ma-Sha is a character portrayed by actress Claudia Black, best known from her work in science fiction and fantasy television and film.
  • E. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc59cbfc8190bba9ebd14143d43c completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b5301748190b0780ae20504f22c completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76c01679c8190b61f642c23c25ed5 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:34 p.m.